Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South America

South America: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 210,729 million USD in 2024. ▲ Rising

Latest (2024)
210,729 million USD
Change on year
up 4.0%
Rank
12th
of 29 groups
All-time high
210,729 million USD
in 2024
All-time low
50,929 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South America, 1970–2024

50.0k100.0k150.0k200.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

South America recorded 210,729 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 4.0% on the previous year and up 16.0% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in South America peaked at 210,729 million USD in 2024 and was at its lowest, 50,929 million USD, in 1970.

That places South America 12th out of 29 groups with data for 2024, putting it in the middle of the range.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South America, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in South America, 1970 to 2024.
Year million USD Change
1970 50,929 million USD
1971 52,648 million USD +3.4%
1972 53,484 million USD +1.6%
1973 55,435 million USD +3.6%
1974 57,603 million USD +3.9%
1975 59,615 million USD +3.5%
1976 60,804 million USD +2.0%
1977 64,648 million USD +6.3%
1978 64,997 million USD +0.5%
1979 67,446 million USD +3.8%
1980 69,134 million USD +2.5%
1981 72,404 million USD +4.7%
1982 73,517 million USD +1.5%
1983 72,857 million USD -0.9%
1984 74,570 million USD +2.4%
1985 78,530 million USD +5.3%
1986 77,918 million USD -0.8%
1987 83,044 million USD +6.6%
1988 86,396 million USD +4.0%
1989 85,652 million USD -0.9%
1990 86,454 million USD +0.9%
1991 86,137 million USD -0.4%
1992 84,162 million USD -2.3%
1993 84,375 million USD +0.3%
1994 91,333 million USD +8.2%
1995 103,633 million USD +13.5%
1996 105,609 million USD +1.9%
1997 107,146 million USD +1.5%
1998 110,881 million USD +3.5%
1999 115,604 million USD +4.3%
2000 118,427 million USD +2.4%
2001 121,598 million USD +2.7%
2002 126,457 million USD +4.0%
2003 133,695 million USD +5.7%
2004 136,600 million USD +2.2%
2005 145,150 million USD +6.3%
2006 150,229 million USD +3.5%
2007 156,236 million USD +4.0%
2008 161,385 million USD +3.3%
2009 151,338 million USD -6.2%
2010 165,844 million USD +9.6%
2011 172,234 million USD +3.9%
2012 166,473 million USD -3.3%
2013 178,051 million USD +7.0%
2014 181,595 million USD +2.0%
2015 185,875 million USD +2.4%
2016 179,256 million USD -3.6%
2017 191,843 million USD +7.0%
2018 189,341 million USD -1.3%
2019 195,241 million USD +3.1%
2020 195,487 million USD +0.1%
2021 197,839 million USD +1.2%
2022 195,227 million USD -1.3%
2023 202,669 million USD +3.8%
2024 210,729 million USD +4.0%

Averages by decade

DecadeAverage LowestHighest Years
1970s 58,761 million USD 50,929 million USD 67,446 million USD 10
1980s 77,402 million USD 69,134 million USD 86,396 million USD 10
1990s 97,533 million USD 84,162 million USD 115,604 million USD 10
2000s 140,112 million USD 118,427 million USD 161,385 million USD 10
2010s 180,575 million USD 165,844 million USD 195,241 million USD 10
2020s 200,390 million USD 195,227 million USD 210,729 million USD 5

Countries ranked near South America

  1. 9 Democratic Republic of the Congo 8,590 million USD compare
  2. 9 Australia and New Zealand 53,208 million USD compare
  3. 10 Egypt 49,906 million USD compare
  4. 11 Japan 47,024 million USD compare
  5. 12 Australia 44,230 million USD compare
  6. 13 Bangladesh 43,966 million USD compare
  7. 14 Mexico 41,368 million USD compare
  8. 15 Thailand 39,680 million USD compare

See the full ranking of 249 places →

More environment data for South America

All data for South America →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in South America?
Value added (agriculture, forestry and fishing) — value us$, 2015 in South America was 210,729 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in South America?
The highest recorded value was 210,729 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in South America?
The lowest recorded value was 50,929 million USD in 1970.
How does South America rank for value added (agriculture, forestry and fishing) — value us$, 2015?
South America ranks 12th out of 29 groups with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in South America?
Over the last ten years it is up 16.0%. The long-run trend across the full record is rising.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/south-america/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).